Analyzing Network Connections...
Network Profile
How is this calculated?
The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.
// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 25 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 9 [Beyoncé] *
25 [Jay Z] *
1 [N.O.R.E.] *
36 [Pharrell Williams] *
100 [The Neptunes] *
9 [Gwen Stefani] *
4 [Orelsan] *
25 [NSYNC] *
16 [Chad Hugo] *
16 [Clipse] *
225 [All Star Tribute] *
4 [Mickey Mouse Club] *
4 [Christina Aguilera] *
16 [Jermaine Dupri] *
25 [Perry Farrell] *
4 [Aaron Lewis] *
64 [Michael Stipe] *
64 [Chris Martin] *
9 [Mary J. Blige] *
4 [Faith Evans] *
9 [Darren Hayes] *
4 [Fred Durst] *
64 [Questlove] *
4 [Wes Scantlin] *
4 [Kelly Rowland]
)
= 5.26 x 10^28
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Beyoncé] *
1 [Jay Z] *
1 [N.O.R.E.] *
1 [Pharrell Williams] *
1 [The Neptunes] *
1 [Gwen Stefani] *
1 [Orelsan] *
1 [NSYNC] *
1 [Chad Hugo] *
1 [Clipse] *
1 [All Star Tribute] *
1 [Mickey Mouse Club] *
1 [Christina Aguilera] *
1 [Jermaine Dupri] *
1 [Perry Farrell] *
1 [Aaron Lewis] *
1 [Michael Stipe] *
1 [Chris Martin] *
1 [Mary J. Blige] *
1 [Faith Evans] *
1 [Darren Hayes] *
1 [Fred Durst] *
1 [Questlove] *
1 [Wes Scantlin] *
1 [Kelly Rowland]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
25
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.19%
(5.26 × 1028 overall)
Dominant nodes (excluded from chart)All Star Tribute 29.84%The Neptunes 13.26%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Last calculated: Oct 12, 11:56 PM
Suffolk County, United States
55
Related Content
No related content found.
